太原理工大学学报2025，Vol.56Issue(6)：1208-1216,9.DOI:10.16355/j.tyut.1007-9432.20230184
基于Sigmoid函数的pH敏感有机电化学晶体管I-V特性理论模型
Theoretical Model of I-V Characteristics of pH-Sensitive Organic Electrochemical Transistors Based on Sigmoid Function
摘要
Abstract
[Purposes]Previously,pH sensors have been fabricated based on pH-sensitive poly(3,4-ethylenedioxythiophene)/bromothymol blue film and the semiconducting layer of poly(3,4-eth-ylenedioxythiophene)/polystyrene sulfonate and a theoretical model has been proposed for describing the current-voltage(I-V)relationship of organic electrochemical transistor-based pH sensors.How-ever,this model is not accurate enough to describe the transconductance curves.To enhance the accu-racy of this model,the Sigmoid function is used to modify the I-V relationship of pH-sensitive or-ganic electrochemical transistors,the goodness of fit of theoretical analysis for the transfer curve and transconductance curve can be as high as 0.999 and 0.984,respectively.[Methods]After analyzing the Taylor expansion characteristics of the Sigmoid function,higher-order terms of gate bias and pH were introduced into the polynomial to modify the theoretical model.The modified model's good-ness of fit to the transconductance curve's experimental results increased by 9.2%.[Results]Finally,the validity and accuracy of the modified model are verified by using the peak transconductance and the gate bias corresponding to the peak transconductance as the sensing parameters.[Conclusions]The re-search provides a universal I-V characteristic relationship for pH-sensitive organic electrochemical transistors and also theoretical supports for designing and manufacturing flexible wearable pH sensors.关键词
有机电化学晶体管/Sigmoid函数/电流-电压特性方程Key words
organic electrochemical transistors/Sigmoid function/current-voltage characteristic equation分类
信息技术与安全科学引用本文复制引用
王振兴,张帆,季超,王彬,柴晓杰,冀健龙,张文栋,桑胜波..基于Sigmoid函数的pH敏感有机电化学晶体管I-V特性理论模型[J].太原理工大学学报,2025,56(6):1208-1216,9.基金项目
国家自然科学基金(52175542) （52175542）
山西省基础研究计划自然科学研究面上项目(20210302123136) （20210302123136）
重庆市自然科学基金(cstc2020jcyj-msxmX0002) （cstc2020jcyj-msxmX0002）
中国博士后基金(2020M673646) （2020M673646）
